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详细说明： Chapter 1 overviews open research problems concerning building data warehouses for integrating and analyzing various complex types of data, dealing with temporal aspects of data, handling imprecise data, and ensuring privacy in DWs. Chapter 2 discusses challenges in designing ETL processes for real-time (or near real-time) data warehouses and proposes an architecture of a real-time DW system. Chapter 3 discusses data warehouse modeling techniques, based on multidimensional modeling. In particular, the chapter covers conceptual, logical, and physical modeling. Chapter 4 proposes an approach to personalizing a multidimensional database. The authors present a model and a language that allow to define user preferences on schema elements. User preferences are expressed by means of weights associated with schema elements and they express user interest in data. Chapter 5 covers designing spatial (geographical) data warehouses. It proposes a metamodel for the support of the design of spatial dimensional schemas. Chapter 6 presents a technique for approximate answering range-sum queries on data cubes. To this end, the authors propose tree-based data structures for separately storing sampled data and outliers data. The proposed technique assures a good quality of approximate answers. Chapter 7 addresses a problem of summarizing multidimensional search spaces, called data cubes. The authors propose the concept of the so-called closed cube, which is a cover for a data cube. The authors show that the closed cube is smaller than its competitor, i.e. a quotient cube, and it can be used for deriving a quotient cube. Chapter 8 analyzes multiple index structures for multiversion data warehouses. In particular, the paper describes how to extend index structures designed for data with linear evolution in order to handle data with branched evolution and it provides an analytical model for comparing various index structures for multiversion DWs. Chapter 9 discusses the application of WAH compressed bitmap indexes to indexing text data for full-text search. The chapter also presents performance characteristics of the proposed indexing technique in three systems, namely MySQL, FastBit, and MonetDB. Chapter 10 proposes the optimization of OLAP queries by means of applying horizontal partitioning of tables and bitmap join indexes. The partitioning schema viii Preface and the set of bitmap indexes are selected by means of genetic and greedy algorithms. The proposed optimization techniques are validated experimentally. Chapter 11 discusses the application of the x-BR-tree index to spatial data. The chapter provides an analytical cost model of spatial queries with the support of the x-BR-tree index, followed by its experimental evaluation. Chapter 12 proposes a formal model for representing spatio-temporal and nonspatial data about moving objects. Based on the model, the authors propose a query language allowing to query such data. The main idea is based on replacing object trajectories by sequences of object stops and moves. Chapter 13 addresses the problem of data mining in a multidimensional space in a data warehouse. The authors propose a compact representation of sequential patterns, called closed multidimensional sequential patterns, which allows to reduce the search space. The proposed representation and mining algorithms are followed by experimental evaluation. Chapter 14 presents issues on modeling and querying temporal semistructured data warehouses. Such a DW is modeled as a graph with labeled nodes and edges. The temporal aspect is added to the graph by means of labels denoting validity times. The model is supported with a query language based on path expressions. Chapter 15 contributes a multidimensional data model of a data warehouse, called "galaxy", that supports the analysis of XML documents. The authors also propose a technique and a tool for integrating XML documents and loading them into a DW. ...展开收缩
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